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ibl-data-manager (4.84.1-ai-plus)

API for iblai

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Mock server
https://docs.ibl.ai/_mock/apis/ibl/
https://base.manager.iblai.app/

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ai-mentor

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ai_mentor_orgs_users_custom_instruction_retrieve

Request

Retrieve custom instructions for a specific user.

Args: request: The HTTP request. org: The organization/tenant identifier. user_id: The ID of the user to retrieve custom instructions for.

Returns: Response: The custom instructions for the user.

Raises: NotFound: If no custom instructions exist for the user.

Security
PlatformApiKeyAuthentication
Path
orgstringrequired
user_idstringrequired
curl -i -X GET \
  'https://docs.ibl.ai/_mock/apis/ibl/api/ai-mentor/orgs/{org}/users/{user_id}/custom-instruction/' \
  -H 'Authorization: YOUR_API_KEY_HERE'

Responses

Bodyapplication/json
idintegerread-onlyrequired
about_userstring or null
mentor_tonestring or null
professionstring<= 100 characters

Position or work. eg: Engineer, student etc.

desired_mentor_traitsstring

Comma separated list of expected traits for mentor.

Response
application/json
{
  "id": 1,
  "username": "johndoe",
  "platform_key": "main",
  "content": "Always explain concepts in simple terms with examples.",
  "created_at": "2023-01-01T12:00:00Z",
  "updated_at": "2023-01-02T14:30:00Z"
}

ai_mentor_orgs_users_custom_instruction_create

Request

Create a new custom instruction for a user.

Args: request: The HTTP request containing the custom instruction data. org: The organization/tenant identifier. user_id: The ID of the user to create custom instructions for.

Returns: Response: The created custom instruction.

Raises: BadRequest: If the provided data is invalid.

Security
PlatformApiKeyAuthentication
Path
orgstringrequired
user_idstringrequired
Body
about_userstring or null
mentor_tonestring or null
professionstring<= 100 characters

Position or work. eg: Engineer, student etc.

desired_mentor_traitsstring

Comma separated list of expected traits for mentor.

curl -i -X POST \
  'https://docs.ibl.ai/_mock/apis/ibl/api/ai-mentor/orgs/{org}/users/{user_id}/custom-instruction/' \
  -H 'Authorization: YOUR_API_KEY_HERE' \
  -H 'Content-Type: application/json' \
  -d '{
    "content": "Always explain concepts in simple terms with examples."
  }'

Responses

Bodyapplication/json
idintegerread-onlyrequired
about_userstring or null
mentor_tonestring or null
professionstring<= 100 characters

Position or work. eg: Engineer, student etc.

desired_mentor_traitsstring

Comma separated list of expected traits for mentor.

Response
application/json
{
  "id": 1,
  "username": "johndoe",
  "platform_key": "main",
  "content": "Always explain concepts in simple terms with examples.",
  "created_at": "2023-01-01T12:00:00Z",
  "updated_at": "2023-01-01T12:00:00Z"
}

ai_mentor_orgs_users_custom_instruction_update

Request

Update an existing custom instruction for a user.

Args: request: The HTTP request containing the updated custom instruction data. org: The organization/tenant identifier. user_id: The ID of the user to update custom instructions for.

Returns: Response: The updated custom instruction.

Raises: BadRequest: If the provided data is invalid. NotFound: If no custom instruction exists for the user.

Security
PlatformApiKeyAuthentication
Path
orgstringrequired
user_idstringrequired
Body
about_userstring or null
mentor_tonestring or null
professionstring<= 100 characters

Position or work. eg: Engineer, student etc.

desired_mentor_traitsstring

Comma separated list of expected traits for mentor.

curl -i -X PUT \
  'https://docs.ibl.ai/_mock/apis/ibl/api/ai-mentor/orgs/{org}/users/{user_id}/custom-instruction/' \
  -H 'Authorization: YOUR_API_KEY_HERE' \
  -H 'Content-Type: application/json' \
  -d '{
    "content": "Always explain concepts in simple terms with examples and analogies."
  }'

Responses

Bodyapplication/json
idintegerread-onlyrequired
about_userstring or null
mentor_tonestring or null
professionstring<= 100 characters

Position or work. eg: Engineer, student etc.

desired_mentor_traitsstring

Comma separated list of expected traits for mentor.

Response
application/json
{
  "id": 1,
  "username": "johndoe",
  "platform_key": "main",
  "content": "Always explain concepts in simple terms with examples and analogies.",
  "created_at": "2023-01-01T12:00:00Z",
  "updated_at": "2023-01-02T14:30:00Z"
}

ai-prompt

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